by Sarah Frigg | Mar 7, 2016 | Machine Learning, Visual Computing
Person Re-identification using Deformable Patch Metric Learning In this paper, we propose to learn appearance measures for patches that are combined using a spring model for addressing the correspondence problem. March 7, 2016IEEE Winter Conference on Applications...
by Martina Megaro | Mar 3, 2016 | Visual Computing, Wireless Communication and Ubiquitous Computing
Evaluating 802.11ac Features in Indoor WLAN- An Empirical Study of Performance and Fairness We present a thorough and extensive experimental performance characterization of the achievable data throughput, jitter, and fairness of the IEEE 802.11ac standard for indoor...
by Martina Megaro | Feb 26, 2016 | Video Processing, Visual Computing
Trending Paths: A Metric for Evaluating Crowd Simulation We propose a new approach based on finding latent Path Patterns in both real and simulated data in order to analyze and compare them. February 26, 2016ACM SIGGRAPH Symposium on Interactive 3D Graphics and...
by Martina Megaro | Feb 12, 2016 | Machine Learning
Assumed Density Filtering Methods for Scalable Learning of Bayesian Neural Networks In this paper, we first rigorously compare the two algorithms and in the process develop several extensions, including a version of EBP for continuous regression problems and a PBP...
by Sarah Frigg | Feb 12, 2016 | Machine Learning, Visual Computing
Exploiting View-Specific Appearance Similarities Across Classes for Zero-shot Pose Prediction: A Metric Learning Approach We propose a metric learning approach for joint class prediction and pose estimation. February 12, 2016Association for the Advancement of...
